Objective To investigate the differential expression of related proteins in interosseous muscle tissue between patients with familial amyotrophic lateral sclerosis（FALS） and normal individuals in a family using the isobaric tags for relative and absolute quantitation （iTRAQ） technique， to identify the pathogenic proteins for this family， and to provide a basis for treatment. Methods Interosseous muscle tissue samples were collected from all subjects in this family， and the iTRAQ technique was used to perform qualitative and quantitative analyses for all proteins and obtain the expression profile of proteins in the disease group and the normal group. The bioinformatics methods were used to identify the proteins associated with the onset of FALS. A gene ontology（GO）analysis was performed for cell components， and a classification analysis was performed for related proteins. Results A total of 453 proteins were identified by mass spectrometry. The GO analysis obtained 14 differentially expressed proteins between the disease group and the normal group （P<0.05）， and compared with the normal group，the disease group had the low expression of 5 proteins （Ratio<1） and the high expression of 9 proteins （Ratio>1）. Conclusion This study identifies 8 proteins that are highly associated with FALS， i.e.， tripartite motif-containing protein 72， NADH dehydrogenase [ubiquinone] 1 beta subcomplex subunit 1， annexin A1， decorin， glutathione peroxidase 3， collagen alpha-1 （Ⅻ） chain， collagen alpha-2 （Ⅰ） chain， and collagen type I alpha 1 isoform CRA-a. There are 6 proteins that might be associated with FALS， i.e.，26 S protease regulatory subunit 8， laminin subunit alpha-2，prolargin， fibrillin-1， myosin-8， and dermatopontin.
Proteomics

Objective To identify the differentially expressed proteins associated with cognitive impairment between the high-altitude population and the plain population， and to investigate the biological functions and signaling pathways of the differentially expressed proteins. Methods A total of 30 individuals living in the plain area （with an altitude of 400 m） and 30 individuals living in the high-altitude area （with an altitude of 3 960 m） were enrolled as plain group and high-altitude group， respectively， and general information was collected from all subjects. Montreal Cognitive Assessment （MoCA） was used to assess cognitive function. Blood samples were collected from each group， and the tims TOF Pro mass spectrometer was used to measure the serum levels of proteins after centrifugation. SPSS 25.0 was used for statistical analysis to investigate he association between proteomics and cognitive impairment. Results The results of MoCA assessment for both groups showed that the high-altitude group had a significantly lower MoCA score than the plain group， suggesting that there was significant cognitive impairment in the high-altitude group， with the main manifestation of impairment in visual space/executive ability， attention， delayed memory， and orientation. The proteomic analysis of serum samples from the subjects identified 169 differentially expressed proteins （84 upregulated proteins and 85 downregulated proteins）， among which 39 proteins were associated with cognitive impairment. The enrichment analysis of the differentially expressed proteins showed that these differentially expressed proteins were involved in the regulation of multiple signaling pathways and metabolic pathways. Conclusion Significant cognitive impairment is observed in the high-altitude population， and there are differentially expressed proteins associated with cognitive function between the high-altitude population and the plain population.
Proteomics

BACKGROUND: Long-term remote ischemic conditioning (RIC) has been proven to be beneficial in multiple diseases, such as cerebral and cardiovascular diseases. However, the hyperacute and acute effects of a single RIC stimulus are still not clear. Quantitative proteomic analyses of plasma proteins following RIC application have been conducted in preclinical and clinical studies but exhibit high heterogeneity in results due to wide variations in experimental setups and sampling procedures. Hence, this study aimed to explore the immediate effects of RIC on plasma proteome in healthy young adults to exclude confounding factors of disease entity, such as medications and gender. METHODS: Young healthy male participants were enrolled after a systematic physical examination and 6-month lifestyle observation. Individual RIC sessions included five cycles of alternative ischemia and reperfusion, each lasting for 5 min in bilateral forearms. Blood samples were collected at baseline, 5 min after RIC, and 2 h after RIC, and then samples were processed for proteomic analysis using liquid chromatography-tandem mass spectrometry method. RESULTS: Proteins related to lipid metabolism (e.g., Apolipoprotein F), coagulation factors (hepatocyte growth factor activator preproprotein), members of complement cascades (mannan-binding lectin serine protease 1 isoform 2 precursor), and inflammatory responses (carboxypeptidase N catalytic chain precursor) were differentially altered at their serum levels following the RIC intervention. The most enriched pathways were protein glycosylation and complement/coagulation cascades. CONCLUSIONS One-time RIC stimulus may induce instant cellular responses like anti-inflammation, coagulation, and fibrinolysis balancing, and lipid metabolism regulation which are protective in different perspectives. Protective effects of single RIC in hyperacute and acute phases may be exploited in clinical emergency settings due to apparently beneficial alterations in plasma proteome profile. Furthermore, the beneficial effects of long-term (repeated) RIC interventions in preventing chronic cardiovascular diseases among general populations can also be expected based on our study findings.
Young Adult ; Humans ; Male ; Proteome ; Cardiovascular Diseases ; Proteomics ; Ischemia ; Blood Coagulation

Genomics ; Base Sequence ; China

Animals ; Rats ; Explosions ; Proteomics ; Autophagy

BACKGROUND: The molecular mechanisms driving tumorigenesis have continually been the focus of researchers. Cuproplasia is defined as copper-dependent cell growth and proliferation, including its primary and secondary roles in tumor formation and proliferation through signaling pathways. In this study, we analyzed the differences in the expression of cuproplasia-associated genes (CAGs) in pan-cancerous tissues and investigated their role in immune-regulation and tumor prognostication. METHODS: Raw data from 11,057 cancer samples were acquired from multiple databases. Pan-cancer analysis was conducted to analyze the CAG expression, single-nucleotide variants, copy number variants, methylation signatures, and genomic signatures of micro RNA (miRNA)-messenger RNA (mRNA) interactions. The Genomics of Drug Sensitivity in Cancer and the Cancer Therapeutics Response Portal databases were used to evaluate drug sensitivity and resistance against CAGs. Using single-sample Gene Set Enrichment Analysis (ssGSEA) and Immune Cell Abundance Identifier database, immune cell infiltration was analyzed with the ssGSEA score as the standard. RESULTS: Aberrantly expressed CAGs were found in multiple cancers. The frequency of single-nucleotide variations in CAGs ranged from 1% to 54% among different cancers. Furthermore, the correlation between CAG expression in the tumor microenvironment and immune cell infiltration varied among different cancers. ATP7A and ATP7B were negatively correlated with macrophages in 16 tumors including breast invasive carcinoma and esophageal carcinoma, while the converse was true for MT1A and MT2A . In addition, we established cuproplasia scores and demonstrated their strong correlation with patient prognosis, immunotherapy responsiveness, and disease progression ( P  <0.05). Finally, we identified potential candidate drugs by matching gene targets with existing drugs. CONCLUSIONS This study reports the genomic characterization and clinical features of CAGs in pan-cancers. It helps clarify the relationship between CAGs and tumorigenesis, and may be helpful in the development of biomarkers and new therapeutic agents.
Humans ; Female ; Genomics ; Carcinogenesis ; Carcinoma ; Breast Neoplasms ; Cell Transformation, Neoplastic ; Nucleotides ; Tumor Microenvironment

BACKGROUND: Steroid receptor-associated and regulated protein (SRARP) suppresses tumor progression and modulates steroid receptor signaling by interacting with estrogen receptors and androgen receptors in breast cancer. In endometrial cancer (EC), progesterone receptor (PR) signaling is crucial for responsiveness to progestin therapy. The aim of this study was to investigate the role of SRARP in tumor progression and PR signaling in EC. METHODS: Ribonucleic acid sequencing data from the Cancer Genome Atlas, Clinical Proteomic Tumor Analysis Consortium, and Gene Expression Omnibus were used to analyze the clinical significance of SRARP and its correlation with PR expression in EC. The correlation between SRARP and PR expression was validated in EC samples obtained from Peking University People's Hospital. SRARP function was investigated by lentivirus-mediated overexpression in Ishikawa and HEC-50B cells. Cell Counting Kit-8 assays, cell cycle analyses, wound healing assays, and Transwell assays were used to evaluate cell proliferation, migration, and invasion. Western blotting and quantitative real-time polymerase chain reaction were used to evaluate gene expression. The effects of SRARP on the regulation of PR signaling were determined by co-immunoprecipitation, PR response element (PRE) luciferase reporter assay, and PR downstream gene detection. RESULTS: Higher SRARP expression was significantly associated with better overall survival and disease-free survival and less aggressive EC types. SRARP overexpression suppressed growth, migration, and invasion in EC cells, increased E-cadherin expression, and decreased N-cadherin and Wnt family member 7A ( WNT7A ) expression. SRARP expression was positively correlated with PR expression in EC tissues. In SRARP -overexpressing cells, PR isoform B (PRB) was upregulated and SRARP bound to PRB. Significant increases in PRE-based luciferase activity and expression levels of PR target genes were observed in response to medroxyprogesterone acetate. CONCLUSIONS This study illustrates that SRARP exerts a tumor-suppressive effect by inhibiting the epithelial-mesenchymal transition via Wnt signaling in EC. In addition, SRARP positively modulates PR expression and interacts with PR to regulate PR downstream target genes.
Female ; Humans ; Receptors, Progesterone/metabolism* ; Proteomics ; Cell Line, Tumor ; Endometrial Neoplasms/metabolism* ; Cell Proliferation/genetics* ; Luciferases/pharmacology* ; Gene Expression Regulation, Neoplastic/genetics*

Data-independent acquisition (DIA) is a high-throughput, unbiased mass spectrometry data acquisition method which has good quantitative reproducibility and is friendly to low-abundance proteins. It becomes the preferred choice for clinical proteomic studies especially for large cohort studies in recent years. The mass-spectrometry (MS)/MS spectra generated by DIA is usually heavily mixed with fragment ion information of multiple peptides, which makes the protein identification and quantification more difficult. Currently, DIA data analysis methods fall into two main categories, namely peptide-centric and spectrum-centric. The peptide-centric strategy is more sensitive for identification and more accurate for quantification. Thus, it has become the mainstream strategy for DIA data analysis, which includes four key steps: building a spectral library, extracting ion chromatogram, feature scoring and statistical quality control. This work reviews the peptide-centric DIA data analysis procedure, introduces the corresponding algorithms and software tools, and summarizes the improvements for the existing algorithms. Finally, the future development directions are discussed.
Humans ; Proteomics/methods* ; Reproducibility of Results ; Peptides/chemistry* ; Software ; Algorithms ; Tandem Mass Spectrometry/methods* ; Proteome/analysis*

Acute mountain sickness (AMS) is a clinical syndrome of multi-system physiological disorder after acute exposure to low pressure and low oxygen at high altitude. Quantitative proteomics can systematically quantify and describe protein composition and dynamic changes. In recent years, quantitative proteomics has been widely used in the prevention, diagnosis, treatment and pathogenesis of many diseases. This review summarizes the progress of quantitative proteomics techniques and its application in the prevention, diagnosis, treatment of AMS and mechanisms of rapidly acclimatizing to plateau, in order to provide a reference for the pathogenesis, early intervention, clinical treatment and proteomic research of AMS.
Humans ; Altitude Sickness/prevention & control* ; Proteomics ; Acute Disease ; Oxygen/metabolism*

Molting is an important physiological phenomenon of many metamorphosis insects, during which the old and new epidermis are separated by enzymes present in the molting fluid. Various proteomic studies have discovered the presence of Bombyx mori carboxypeptidase A (Bm-CPA) in the molting fluid of silkworm, but its function remains unclear. In order to better understand the role of Bm-CPA in the molting process of silkworm, Bm-CPA was analyzed by bioinformatics analysis, real-time fluorescence quantitative PCR, antibody preparation, immunofluorescence staining, and expression in Pichia pastoris. The results showed that Bm-CPA had a conserved M14 zinc carboxypeptidase domain and glycosylation site. Its expression was regulated by ecdysone 20E, and large expression was observed in the epidermis of the upper cluster stage. Immunofluorescence staining showed that Bm-CPA was enriched in the epidermis during the molting stage, and the inhibitor of Bm-CPA led to the larval death due to the inability to molt. We also successfully obtained a large number of recombinant Bm-CPA proteins by Pichia pastoris expression in vitro. These results may facilitate further understanding the molting development process of silkworm.
Animals ; Molting/genetics* ; Bombyx/genetics* ; Carboxypeptidases A/metabolism* ; Proteomics ; Larva/metabolism* ; Fluorescent Antibody Technique ; Insect Proteins/metabolism*